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Most Affordable Online Data Analytics Degree Programs for 2025

Imed Bouchrika, Phd

by Imed Bouchrika, Phd

Co-Founder and Chief Data Scientist

Paying for college can be a major roadblock for high school graduates and career shifters aiming to break into the data analytics field. Many are eager to start fresh or build a future in tech, but the rising cost of education often delays or derails their plans. The challenge becomes more urgent when considering that about 80% of data analyst jobs require at least a bachelor’s degree—making higher education not just helpful, but necessary for most entry-level roles.

This guide highlights the most affordable online data analytics degree programs for 2025. Compiled by experts in career planning, it offers clear, up-to-date information to help aspiring analysts find high-quality programs that fit their budget and goals.

What are the benefits of getting an online data analytics degree?

  • It opens doors to roles like data analyst, business intelligence analyst, and data scientist.
  • The median salary for data analytics jobs is at around $84,348 per year, depending on experience and location.
  • Online programs offer flexible schedules and lower costs, making it easier to balance study with work or personal commitments.

What can I expect from an online data analytics degree?

An online data analytics degree covers key skills and concepts needed to analyze and interpret data. The core curriculum usually includes courses in statistics, programming, data visualization, and database management. Most programs require a capstone project to apply what you’ve learned in a real-world scenario. Some also include internship hours to gain hands-on experience.

Tuition for these programs typically ranges from $10,000 to $30,000 per year, depending on the school.

Online classes are generally delivered through video lectures, interactive assignments, and discussion forums. Many programs offer flexible pacing, allowing you to study on your own schedule. You will use software tools for data analysis and collaborate with peers virtually.

Where can I work with an online data analytics degree?

An online data analytics degree opens doors to various career opportunities across many industries. According to the U.S. Bureau of Labor Statistics, as of May 2023, key industries employing data analysts and related roles include:

  • Computer Systems Design Services: Employs 16,620 data professionals, accounting for nearly 34.63% of the sector’s workforce.
  • Corporate Management: Employs about 12,570 data analysts, roughly 26.19% of industry jobs.
  • Consulting Services: Employs around 7,270 data specialists, making up about 15.15% of its workforce.
  • Research and Development: Employs approximately 5,840 data analysts, or 12.17% of the sector’s employment.
  • Credit Services: Employs over 5,690 data analysts, about 11.86% of the industry’s workforce.

How much can I make with an online data analytics degree? 

Data analytics professionals enjoy strong earning potential. The following median wages in 2025 are notably higher than the U.S. median hourly wage of $36.06, or $75,000 per year.:

  • Data Analysts: $40.55 per hour; $84,348 per year
  • Business Intelligence Analysts: $54.13 per hour; $112,590 per year
  • Senior Data Analysts: $47.71 per hour; $99,231 per year

Entry-level data analysts typically start around $54,871 annually, while experienced professionals can earn $80,553 or more. Advanced degrees or certifications, like a master’s in data analytics, often boost salaries further, with averages reaching $100,906.

Table of Contents

  1. List of the Best Online Data Analytics Degree Programs for 2025
  2. How long does it take to complete an online data analytics degree program?
  3. How does an online data analytics degree program compare to an on-campus program?
  4. What is the average cost of an online data analytics degree program?
  5. What are the financial aid options for students enrolling in an online data analytics degree program?
  6. What are the prerequisites for enrolling in an online data analytics degree program?
  7. Is an Online Data Analytics Degree Program a Competitive Alternative to an MBA?
  8. What courses are typically in an online data analytics degree program?
  9. How do online data analytics degrees compare with other professional online degree programs?
  10. What types of specializations are available in an online data analytics degree program?
  11. How to Choose the Best Online Data Analytics Degree Program
  12. What is the return on investment for an online data analytics degree?
  13. What career paths are available for graduates of an online data analytics degree program?
  14. What is the job market for graduates with an online data analytics degree program?
  15. Other Things You Should Know About Online Data Analytics Degree Programs

List of the Best Online Data Analytics Degree Programs for 2025

How do we rank schools?

Paying for a degree is a major investment, so our ranking method helps students make informed choices with clear and detailed information. We use trusted sources like the IPEDS database, Peterson's database, the College Scorecard database, and The National Center for Education Statistics. These sources offer solid data to assess and rank online data analytics degree programs. To learn more about our approach, please visit Research.com's methodology page.

1. Western Governors University

Western Governors University offers a fully online Bachelor of Science in Data Analytics designed for working adults seeking career growth. The program emphasizes practical skills in data analysis, statistics, and predictive modeling using real-world tools. Flexible pacing and personalized mentorship support student success throughout the curriculum.

  • Required Units: 12 competency units per 6-month term
  • Cost: $3,835 per six-month term
  • Accreditation: Northwest Commission on Colleges and Universities (NWCCU)

2. Purdue University Global

Students pursuing a Bachelor of Science in Data Analytics gain the skills to analyze and interpret complex data that drive effective business decisions. At Purdue Global, the curriculum blends data mining, statistical analysis, and data visualization, balancing technical expertise with real-world applications. Critical thinking and problem-solving are core focuses, preparing graduates to excel in data-driven roles across industries.

  • Required Credits to Graduate: 180
  • Cost: $371 per credit hour
  • Accreditation: Higher Learning Commission (HLC)

3. Southern New Hampshire University

Building skills in data management, analysis, and visualization, students at Southern New Hampshire University engage with hands-on projects and real-world tools. This online Bachelor of Science in Data Analytics prepares graduates for careers in business intelligence, data-driven decision-making, and technology sectors.

  • Required Credits to Graduate: 120
  • Cost: $330 per credit hour
  • Accreditation: New England Commission of Higher Education (NECHE)

4. Penn State World Campus

Penn State World Campus offers an online Bachelor of Science in Functional Data Analytics that prepares students to interpret and apply data insights to solve business challenges. The curriculum focuses on data mining, predictive modeling, and decision-making strategies, blending technical skills with practical experience for career readiness.

  • Required Credits to Graduate: 122
  • Cost: $632/$678 per credit
  • Accreditation: Middle States Commission on Higher Education (MSCHE)

5. Eastern Oregon University

A strong foundation in data science, programming, and statistical analysis is at the core of the Bachelor’s in Data Analytics program offered online by Eastern Oregon University. The curriculum focuses on applying data solutions to real-world challenges across various industries. Students also develop critical thinking and communication skills while gaining hands-on experience with tools such as SQL, Python, and R.

  • Required Credits to Graduate: 180
  • Cost: $316 per credit hour
  • Accreditation: Northwest Commission on Colleges and Universities (NWCCU)

6. Franklin University

Through Franklin University online Bachelor of Science in Analytics with a focus on Applied Data Science, students learn to collect, analyze, and interpret data to support business decisions. The program blends data science, computer science, and business courses, helping students build technical skills while understanding real-world business contexts.

  • Required Credits to Graduate: 120
  • Cost: $398 per credit hour
  • Accreditation: Higher Learning Commission (HLC)

7. Strayer University

Strayer University online Bachelor of Science in Information Technology with a concentration in Data Analytics teaches students how to turn data into actionable insights. The program includes courses in programming, database management, and statistical analysis, preparing graduates for roles that require technical expertise and business acumen.

  • Required Courses to Graduate: 40
  • Cost: $1,525 per course
  • Accreditation: Middle States Commission on Higher Education (MSCHE)

8. Rasmussen University

Developing skills in data interpretation, visualization, and statistical analysis is central to the online Bachelor’s in Data Analytics program at Rasmussen University. Through hands-on projects and the use of real-world tools, students learn to extract meaningful insights and support business decisions. The program’s flexible learning options also accommodate busy schedules.

  • Required Credits to Graduate: 90
  • Cost: $307 per credit hour
  • Accreditation: Higher Learning Commission (HLC)

9. Southern Illinois University Edwardsville 

Blending core business principles with advanced data analysis techniques, the online BS in Business Administration with a specialization in Data Analytics at Southern Illinois University Edwardsville prepares students to make strategic, data-driven decisions. Through hands-on experience with tools like SQL and Python, learners develop skills tailored to the business environment.

  • Required Credits to Graduate: 120
  • Cost: $479 per credit hour
  • Accreditation: Higher Learning Commission (HLC) / The Association to Advance Collegiate Schools of Business (AACSB International)

10. Colorado Technical University

Colorado Technical University online Bachelor of Science in Business Administration with a concentration in Data Analytics prepares students to analyze business data and support strategic decision-making. The program combines foundational business knowledge with analytics tools, including data mining, visualization, and predictive modeling, to build versatile, career-ready skills.

  • Required Credits to Graduate: 180
  • Cost: $340 per credit hour
  • Accreditation: Higher Learning Commission (HLC) / Accreditation Council for Business Schools and Programs (ACBSP)

How long does it take to complete an online data analytics degree program?

An online bachelor's degree in data analytics typically takes four years to complete with full-time enrollment.

However, the actual duration can vary based on several factors. Students who transfer credits from previous college coursework can often finish faster, sometimes in just two to three years. Many online programs offer flexible pacing, allowing students to choose part-time or full-time study. This is helpful for those balancing work or family responsibilities.

Part-time students may take five to six years to graduate, depending on their course load. Accelerated programs also exist, with some allowing completion in under three years. For instance, certain programs enable students to earn their bachelor's degree in as little as two years by combining transfer credits and intensive coursework.

On average, students across all fields finish online bachelor's degrees in about 52 months. Compared to in-person programs, online degrees often offer the same curriculum with added flexibility. While online graduation rates are slightly lower than traditional ones, the gap continues to close as more schools improve their support services.

Affordable Online Data Analytics Degree Programs1.png

How does an online data analytics degree program compare to an on-campus program?

An online data analytics degree is generally just as respected as an on-campus degree—especially when earned from an accredited institution. Both options usually cover the same skills and coursework, including programming, statistics, and data visualization. The main difference lies in the format and delivery.

Flexibility and accessibility

Online programs offer greater flexibility, which is especially valuable for working adults. About 60% of online data analytics students also work full-time while earning their degree. This makes online learning a practical option for career changers and those balancing other responsibilities.

Recognition and outcomes

Approximately 75% of employers consider online degrees equal to on-campus ones when they come from accredited institutions. Online student satisfaction rates often mirror those of in-person students. Academic performance is similar across formats, with average GPAs closely aligned.

Growth in online enrollment

Enrollment in online undergraduate data analytics programs is rising by nearly 20% each year. This surge highlights growing interest in flexible and affordable education, especially in a high-demand field like data analytics.

What is the average cost of an online data analytics degree program?

The average cost of an online bachelor’s degree in data analytics ranges from $15,000 to $30,000. Online programs generally cost less than on-campus options, often saving students 20% to 30% on tuition and fees. This price difference comes from lower campus-related expenses like facility use and commuting.

Students should also expect extra fees for technology, course materials, and online testing. These additional costs usually add a few hundred dollars each semester.

Nearly 70% of online students receive financial aid or scholarships, which can lower the total cost significantly. Some schools offer flat-rate tuition, charging a fixed price regardless of the number of credits taken, which benefits students taking heavier course loads.

The average student loan debt for online undergraduates is similar to on-campus students, around $30,000. Tuition for data-related degrees has risen steadily, about 3% per year over the past five years, reflecting steady demand and improvements in program quality. When considering options, students often compare the difference between data science and computer science degrees, as program structure, cost, and career outcomes may vary.

For cost-conscious learners, it's worth comparing options like the cheapest online bachelor's degree in sustainability, which also offers flexible online formats and strong career applicability. These programs demonstrate how affordability and academic rigor can coexist in today’s digital education landscape.

What are the financial aid options for students enrolling in an online data analytics degree program?

Online students have access to many of the same financial aid options as on-campus learners. Roughly 60% of online students receive federal financial aid, which can significantly reduce the cost of earning a degree.

Federal financial aid options

Federal support includes:

  • Grants, which are need-based and do not require repayment.
  • Loans, which must be repaid with interest.
  • Work-study programs offer part-time jobs to eligible students.

Scholarships and alternative aid

Over 1,200 scholarships are available nationally for students in STEM fields like data analytics. These awards may be merit-based, need-based, or program-specific.

Additional financial support options

Some schools offer payment plans that break tuition into manageable monthly installments. Private loans are available but usually come with higher interest rates and stricter terms than federal loans.

Important consideration

The default rate for private loans (~10%) is about double that of federal loans (~5%), making federal aid the safer and more flexible option for most online students.

What are the prerequisites for enrolling in an online data analytics degree program?

Admission into an online data analytics degree program is generally accessible, with requirements designed to accommodate a wide range of applicants. At a minimum, you’ll need a high school diploma or GED. Most programs also expect a GPA between 2.5 and 3.0.

Academic and application requirements

While coding experience isn’t always required, a background in math is helpful. Recommended high school coursework includes:

  • Algebra
  • Statistics
  • General science

Other common application materials include:

  • Transcripts
  • Completed application forms
  • Occasionally, a personal statement

Test scores and selectivity

About 60% of programs are test-optional, allowing students to apply without SAT or ACT scores. Acceptance rates typically range from 50% to 70%, making these programs moderately selective.

Even students without prior tech or coding experience are regularly admitted, as many programs begin with foundational courses to build up necessary skills. Some applicants may also explore the career path cyber security vs computer science degree comparison to determine which program best aligns with their long-term goals.

While prerequisites vary by institution, many programs expect a foundation in math and logical reasoning. Students who’ve pursued affordable data science training programs online often find themselves especially well-prepared for coursework involving statistics, programming, and data modeling.

Affordable Online Data Analytics Degree Programs2

Is an Online Data Analytics Degree Program a Competitive Alternative to an MBA?

Online data analytics programs focus on developing technical and analytical expertise through coursework in statistics, programming, and data visualization, which is distinct from the broader strategic and leadership focus of traditional MBA programs. This specialized approach addresses the specific needs of roles that demand data-driven decision making and technical proficiency, often at a lower cost and with greater scheduling flexibility. For professionals intent on advancing in technology-centered careers without the extensive management coursework typical of MBA curricula, an online data analytics degree provides clear, direct pathways toward technical roles and faster entry into data-focused positions. For a broader business perspective, you may also consider exploring cheap online MBA programs.

What courses are typically in an online data analytics degree program?

Online data analytics degree programs generally include core courses in statistics, programming, data management, and data visualization. Approximately 85% of these programs incorporate programming languages such as Python or R into their curricula. Around 70% of programs integrate hands-on projects or labs to provide practical experience.

Students often have the opportunity to select electives in specialized fields like artificial intelligence (AI) or business analytics. Enrollment in these electives has seen a 40% increase in recent years. Many programs also include a capstone project or internship, allowing students to apply their skills in real-world settings.

The core subjects equip students with essential skills in data analysis, problem-solving, and programming, aligning with industry demands. Employers often seek proficiency in data analysis, statistical methods, and programming languages like Python and R. This comprehensive approach prepares graduates for careers in various sectors, including finance, healthcare, marketing, and roles where factors such as environmental data analyst salary come into play when evaluating job prospects in specialized fields.

Core courses often include statistics, data visualization, and machine learning. Learners interested in technical drawing or engineering applications might also explore cheapest online autocad certificate courses, which complement data analytics with practical skills in design and spatial data interpretation.

How do online data analytics degrees compare with other professional online degree programs?

Online data analytics degrees emphasize quantitative analysis, programming, and data management to meet the evolving demands of tech-driven industries, whereas other online degree programs tailor their curricula to distinct professional sectors. For example, programs in healthcare concentrate on clinical practices and patient care, as seen in online PharmD programs. Both types of programs adhere to strict accreditation standards and incorporate advanced instructional tools, yet they differ in course content, career focus, and industry applications. Evaluating program outcomes, specialized training, and support services can help prospective students determine which pathway best aligns with their long-term professional goals.

What types of specializations are available in an online data analytics degree program?

Online data analytics programs often include optional specializations that allow students to focus on specific sectors or technical skill sets. These tracks can help align your education with your career goals and increase employability in targeted fields.

Common Specializations

Around 60% of programs offer concentration areas such as:

  • Business analytics – focuses on data-driven decision-making in corporate settings
  • Healthcare analytics – applies data to patient care, hospital operations, and medical research
  • Finance analytics – emphasizes risk analysis, investment modeling, and economic forecasting
  • Machine learning – covers algorithm development and predictive modeling
  • Data engineering – focuses on data pipelines, architecture, and infrastructure

Career Impact

Specializations can directly influence job prospects and salary levels:

  • The healthcare sector is projected to add 1.6 million jobs between 2023 and 2033, comprising about 24% of all new jobs in that period
  • Financial analyst roles are expected to grow 9% from 2021 to 2031

Salaries also vary:

  • Business analysts average $86,122 per year
  • Machine learning engineers average $166,574 per year

Skill Certifications and Trends

Employers increasingly seek candidates with certifications in SQL, Python, and Tableau. Enrollment data shows strong student interest in specializations that blend data skills with industry applications, especially in business, healthcare, and technical domains

How to Choose the Best Online Data Analytics Degree Program

Selecting the right online data analytics degree program involves evaluating several critical aspects that can impact your education and career outcomes. Below are the key steps to guide your decision:

1. Check for Accreditation

Ensure the program is accredited by a recognized agency. Accreditation affects credit transfer, employer recognition, and financial aid eligibility. Accredited programs are more likely to use advanced, technology-supported learning systems that improve educational quality.

2. Review the Curriculum

Look for comprehensive coverage of core areas like statistics, data visualization, machine learning, and SQL. Specialized electives or tracks in areas like business, healthcare, or finance analytics can provide added career value.

3. Evaluate Career Support Services

Strong programs offer internship opportunities, career coaching, and job placement support. While not all online programs list percentages, many reputable ones prioritize practical training and career readiness.

4. Research Faculty and Class Sizes

Programs with low student-to-faculty ratios may provide more personalized attention. Smaller class sizes (around 12 students) have been found to enhance learning in online STEM courses. Conversely, some introductory online courses may exceed 200 students, which can affect engagement.

5. Compare Graduate Outcomes

Employment data can signal program quality. For example, Georgia Tech’s Online Master of Science in Analytics reports that 44.4% of graduates become data scientists.

6. Consider Student Satisfaction and Support

Programs with positive reviews and robust support systems (technical help, tutoring, advising) tend to have higher satisfaction rates. Accredited programs generally score better in areas related to learner support and assessment quality.

What is the return on investment for an online data analytics degree?

Evaluating the return on investment (ROI) for an online data analytics degree involves comparing program costs against projected earnings and career advancement opportunities. Graduates typically see accelerated salary growth, partially offsetting the relatively lower upfront investment in online education. Prospective students should examine post-graduation employment rates, median salaries in the data analytics field, and long-term career trajectories. In addition, comparing similar specialized programs—such as the cheapest online MBA with specialization in healthcare management—can provide valuable context for assessing the overall financial benefits and aligning educational goals with market demand.

What career paths are available for graduates of an online data analytics degree program?

Graduates with an online data analytics degree are qualified for a wide range of roles across multiple industries. These positions often serve as a launchpad for higher-level careers in data science and analytics leadership.

Common Entry-Level Roles

Online degree holders can typically qualify for roles such as:

  • Data Analyst – responsible for collecting, organizing, and interpreting data to guide decision-making.
  • Business Analyst – focuses on analyzing business processes and recommending data-driven improvements.
  • Operations Analyst – supports organizational efficiency through data and workflow analysis.

Related roles may also overlap with the computer programmer career path, especially where programming, scripting, or data automation is involved.

Industry Demand and Degree Value

The U.S. Bureau of Labor Statistics projects a 36% growth in data scientist jobs by 2033, much faster than average. About 80% of data analyst jobs require at least a bachelor’s degree, reinforcing the importance of completing a full degree program.

Long-Term Advancement

With experience and further training, graduates can move into senior and leadership roles:

  • Data Scientist
  • Analytics Manager
  • Chief Data Officer

These advanced positions typically require not only professional experience but also ongoing skill development, including certifications in tools like Python, R, SQL, and machine learning frameworks.

Data analytics graduates can pursue roles such as data analyst, business intelligence specialist, or machine learning engineer. Similar to those completing the cheapest CompTIA network training course online, these professionals are in high demand across sectors including tech, finance, healthcare, and e-commerce.

What is the job market for graduates with an online data analytics degree program?

The job market for graduates with an online data analytics degree is robust and expanding. Employment of data scientists is projected to grow 36% from 2023 to 2033, significantly faster than the average for all occupations.

Online degree holders are increasingly competitive in the job market. A survey found that 74% of employers recognize online learning as equivalent to traditional in-person education.

Industries such as finance, healthcare, marketing, and e-commerce are actively hiring data analytics graduates. Data analysts are now integral to sectors like finance, business, healthcare, e-commerce, and marketing.

Employers prioritize skills in SQL, Python, and data visualization tools like Tableau and Power BI. Proficiency in SQL is particularly crucial, as it's commonly required for accessing company databases.

Salary trends are favorable, with the average salary for a data analyst in the United States being $82,841 per year. Resources such as a computer engineer career guide can also provide helpful comparisons for students exploring overlapping technical fields.

Affordable Online Data Analytics Degree Programs3.png

Other Things You Should Know About Online Data Analytics Degree Programs

Will data analysts be replaced by AI?

Data analysts are unlikely to be replaced by AI. While AI can automate routine tasks like data cleaning and basic reporting, it lacks the human intuition, contextual understanding, and critical thinking necessary for strategic decision-making. Experts agree that AI will augment analysts' roles rather than replace them, allowing professionals to focus on higher-level analysis and interpretation. In fact, demand for data analysts is projected to grow, with the U.S. Bureau of Labor Statistics forecasting a 23% increase in employment for data analysts and related roles by 2032. Therefore, embracing AI tools can enhance a data analyst's capabilities, making them more valuable in the evolving job market.

What are the disadvantages of being a data analyst?

Being a data analyst comes with several challenges. One major issue is dealing with poor-quality or incomplete data, which can make analysis time-consuming and frustrating. Additionally, the job often involves long hours in front of a computer, leading to a sedentary lifestyle and potential health concerns. The field is constantly evolving, requiring analysts to continuously learn new tools and techniques to stay current. Furthermore, translating complex data findings into understandable insights for non-technical stakeholders can be difficult. These factors contribute to a demanding work environment that requires both technical skills and adaptability.

Can I do data analytics if I'm bad at math?

You can pursue data analytics even if you're not strong in math. While a basic understanding of statistics and logical thinking is important, advanced math skills are not a prerequisite. Many entry-level data analyst roles focus more on data cleaning, visualization, and interpretation, which rely on tools and software rather than complex mathematical calculations. With dedication and practical experience, you can develop the necessary skills and confidence to succeed in the field.

Which is better cyber security or data analysis?

Both cybersecurity and data analysis offer promising career paths, but the better choice depends on your interests and goals. Cybersecurity focuses on protecting systems from digital threats, while data analysis involves interpreting data to inform decisions. As of 2024, information security analysts earn a median annual salary of $124,910, with a projected job growth of 33% from 2023 to 2033. Data scientists have a median salary of $124,518, with a projected growth of 35% over the same period. Choose cybersecurity if you're interested in safeguarding digital assets; opt for data analysis if you enjoy deriving insights from data.

References:

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